An Expert System of Crack Monitoring and Diagnosing for Rotating Machines

1992 ◽  
pp. 84-91 ◽  
Author(s):  
M. Zhao ◽  
Z. H. Luo
Keyword(s):  
Expert System ◽  
Rotating Machines ◽  
Crack Monitoring

Expert System Based on Fuzzy Rules for Monitoring and Diagnosis of Operation Conditions in Rotating Machines

2014 ◽  
Vol 1061-1062 ◽  
pp. 950-960
Author(s):  
Rui Francisco Martins Marçal ◽  
Kazuo Hatakeyama ◽  
Dani Juliano Czelusniak
Keyword(s):  
Expert System ◽  
Detection Method ◽  
Fuzzy Rules ◽  
Spectral Signature ◽  
Linguistic Variables ◽  
Rotating Machines ◽  
Rotating System ◽  
Monitoring And Diagnosis ◽  
Operation Conditions ◽  
Vibration Pattern

This work provides a detection method for failure in rotating machines based on a change of vibration pattern and offers the diagnosis about the operation conditions using Fuzzy Logic. A mechanic structure (as an experimental prototype where faults can be inserted) called Rotating System has been used. The vibration standard of the Rotating System, called "The Spectral Signature", has been obtained. The changes in the vibration standard have been analyzed and used as parameters for detecting incipient failures, as well as their condition evolution, allowing predictive monitoring and planning of maintenance. The faults analyzed in this work are caused due to insertion of asymmetric masses for unbalancing in the axle wheel. The system for diagnosing Fuzzy System was calibrated to detect and diagnose the conditions: normal, incipient failure, maintenance, and danger, using linguistic variables. The frequency of rotation and the amplitudes of vibration of the axle wheel are considered in each situation as parameters for analysis, diagnostic, for the decision by the Expert System based on Fuzzy rules. The results confirm that the proposed method is useful for detecting incipient failures, monitoring the evolution of severity and offering grants for planning and decision making about maintenance or prevention of rotating machines.

scholarly journals Insulation Diagnosis of Rotating Machines for Elevators by an Expert System Based on Fuzzy Inference

1992 ◽  
Vol 112 (11) ◽  
pp. 931-937 ◽  
Author(s):  
Kiyoji Kaneko ◽  
Hirotsugu Ohshima ◽  
Naoya Yamada ◽  
Toshio Iigima
Keyword(s):  
Expert System ◽  
Fuzzy Inference ◽  
Rotating Machines

Expert System to Detect Incipient Faults in Rotating Machines Using Fuzzy Logic and Virtual Instrumentation

2012 ◽  
pp. 1011-1014
Author(s):  
Renato K. Vanni ◽  
Galdenoro Botura Jr ◽  
Marilza A. Lemos ◽  
Marcio A. Marques ◽  
Luiz C. Rosa
Keyword(s):  
Fuzzy Logic ◽  
Expert System ◽  
Rotating Machines ◽  
Virtual Instrumentation ◽  
Incipient Faults

scholarly journals Application of Expert System on the Insulation Diagnosis of High Voltage Rotating Machines

1990 ◽  
Vol 110 (4) ◽  
pp. 267-276 ◽  
Author(s):  
Hiroshi Miyao ◽  
Keiji Suzuki ◽  
Takashi Usui ◽  
Hiroyuki Kamiya ◽  
Masami Sukeda ◽  
...  
Keyword(s):  
Expert System ◽  
High Voltage ◽  
Rotating Machines

Network switching and voltage evaluation using an expert system in ac railway systems

1992 ◽  
Vol 139 (1) ◽  
pp. 1 ◽  
Author(s):  
C.S. Chang ◽  
T.T. Chan ◽  
K.K. Lee
Keyword(s):  
Expert System ◽  
Railway Systems

ESPNET: expert-system-based simulator of Petri nets

1988 ◽  
Vol 135 (4) ◽  
pp. 239 ◽  
Author(s):  
J. Duggan ◽  
J. Browne
Keyword(s):  
Expert System ◽  
Petri Nets

Diagnosing faults in a telecommunications network by an expert system

1990 ◽  
Vol 137 (5) ◽  
pp. 273 ◽  
Author(s):  
R.J. Allwood ◽  
C.N. Cooper ◽  
A. Taylor
Keyword(s):  
Expert System ◽  
Telecommunications Network
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